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Internship Machine Learning Startup Jobs in Indianapolis, IN

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$24.4K

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How much do internship machine learning startup jobs pay per year?

As of May 28, 2026, the average yearly pay for internship machine learning startup in Indianapolis, IN is $40,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

What are the most commonly searched types of Machine Learning Startup jobs in Indianapolis, IN? The most popular types of Machine Learning Startup jobs in Indianapolis, IN are:
What are popular job titles related to Internship Machine Learning Startup jobs in Indianapolis, IN? For Internship Machine Learning Startup jobs in Indianapolis, IN, the most frequently searched job titles are:
What cities near Indianapolis, IN are hiring for Internship Machine Learning Startup jobs? Cities near Indianapolis, IN with the most Internship Machine Learning Startup job openings:

Machine Learning Engineer (Platform)

ArteraAI

Indianapolis, IN โ€ข On-site, Remote

$180K - $220K/yr

Full-time

Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About Us Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale. As a Machine Learning Engineer at Artera, you'll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for data processing and model training.

You'll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You'll ensure that Artera's model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments. Responsibilities Develop the long term vision and roadmap for Artera's AI platform that will allow the company to continue to scale in terms of both increased inference volume and development workloads.

Accountable for Artera's ML compute infrastructure including scaling up Artera's Foundation Model development by developing distributed training infrastructure and developer libraries. Build and evolve the core libraries used by AI scientists to develop, launch, and monitor AI products. Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.

Optimize Artera's ability to store and serve terabytes of digital pathology data efficiently for the use in serving large-scale training regimes. Ensure that Artera's observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape. Experience Requirements 8+ years of industry software engineering experience 4+ years of industry experience in using ML orchestration frameworks such as Flyte, Ray, Kubeflow, Metaflow, MLFlow, Dagster, Argo Workflow or Prefect 4+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python 3+ years of industry experience building with AWS, Docker, and Kubernetes 1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelines Desired Experience using Terraform, SqlAlchemy Experience in multi-node and multi-gpu training.

Experience deploying and maintaining infrastructure for machine learning training and production inference Familiarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization Work Authorization Requirement This is a remote role open to candidates who are currently authorized to work either in the United States or in Canada without the need for current or future employment-based visa sponsorship. Artera does not sponsor visas or support visa transfers for this position. Eligible candidates may include: Individuals authorized to work in the United States on a permanent basis (e.g., U.S.

citizens, U.S. permanent residents), or Individuals authorized to work in Canada (e.g., Canadian citizens or Canadian permanent residents). $180,000 - $220,000 a year In addition to base salary, equity is a core component of our compensation.

We also offer 401k matching, unlimited paid time off (PTO), and more. The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process. Equal Employee Opportunity : At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians.

As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic. #J-18808-Ljbffr